… group consensus. Our models can be used to derive the importance weights of fuzzy preference
relations and multiplicative preference relations. … levels of consensus in group decision …

… The aim of this paper is to present a consensus model for GDM problems with incomplete
fuzzy preference relations. This consensus model will not only be based on consensus …

… preference values. This paper focuses on the consensus reaching process for GDM with
PLPRs. An index for measuring the consensus degree is defined first. Then, as for the expert …

… In this paper, it is assumed that a consensus exists if the group consensus indices of all the
experts’ preference relations are smaller than a given consensus threshold GCI. This kind of …

… order to automatically model the whole consensus process. … consensus support system
(CSS) to automate the consensus … of multigranular linguistic preference relations. In this CSS …

… the task of determining consensus thresholds to decision makers. … of group decision-making
with preference relations (PRs). The process employs a concept called random consensus …

… decision making with linguistic preference information. We show that the consensus
between individual preference relations and the collective (group) preference relation is greater …

… In Algorithm 2, the group multiplicative preference relation A … one preference relation that
has a maximum group consensus … maximum group level, then we can change their preferences …

… preference relation to the one with weak transitivity. In Section 4, we study the consensus of
group … an acceptable group consensus from individual fuzzy preference relations. Section 5 …

… an optimal consensus model to derive weights for linguistic preference relations (LPRs). …
This paper first puts forward an optimal consensus model for LPRs relations to derive each DM's …